Data for: Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes

Name: Data for: Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes
Creator: Amy Cromartie
Published: 2025-11-05T08:14:40.935Z
Keywords: Biomarker, Organic Geochemistry, Paleoclimate, Paleoclimatology

Cromartie, Amy

doi:10.17632/tr8tppy9fz.1

Data for: Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes

Published: 5 November 2025| Version 1 | DOI: 10.17632/tr8tppy9fz.1

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Amy Cromartie

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Raw compiled and new relative abundance, pH, longitude and latitude, and brGDGTs for Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes. https://doi.org/10.5194/egusphere-2025-526, 2025.

Data for: Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes

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